Results 221 to 230 of about 213,693 (303)

Accurate detection of COVID-19 patients based on distance biased Naïve Bayes (DBNB) classification strategy. [PDF]

Pattern Recognit, 2021
Shaban WM, Rabie AH, Saleh AI, Abo-Elsoud MA.   +3 more
europepmc   +1 more source

Goffman's Tempting the Devil in Stigma: A Close Rereading of Goffman's “Subversive” Construct of “the Normals” Versus “the Stigmatized”

Symbolic Interaction, EarlyView.
This article engages in a close rereading of Stigma, relating it to Goffman's biography as a person who faced stigma. Exploring his biography helps us to recognize the ways Goffman applies stigma strategies in how he represents himself as the author in Stigma.
Thaddeus Müller
wiley   +1 more source

Urban built-up area extraction using triangle threshold algorithm and Naive Bayes classification model with multidata fusion. [PDF]

Sci Rep
Li Y, Zhong X, Liu H, Liao M, Lu YF, Liu B.   +5 more
europepmc   +1 more source

Distinct Nasal Microbiome Profiles and Prediction Model for Allergic Rhinitis, Nonallergic Rhinitis, and Healthy Children

World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
The alpha and beta diversity of the nasal microbiome differed among children with allergic rhinitis (AR), nonallergic rhinitis (NAR), and healthy controls (HCs). Compared to HC, AR had more Escherichia‐Shigella, Negativicoccus, and Campylobacter, while NAR had more Dolosigranulum and fewer Enterobacteriaceae.
Kantima Kanchanapoomi, Iyarit Thaipisuttikul, Perapon Nitayanon, Witchaya Srisuwatchari, Punchama Pacharn, Nualanong Visitsunthorn, Orathai Jirapongsananuruk   +6 more
wiley   +1 more source

The Naïve Bayes classifier++ for metagenomic taxonomic classification-query evaluation. [PDF]

Bioinformatics
Duan HN, Hearne G, Polikar R, Rosen GL.
europepmc   +1 more source

Modelling, mapping and monitoring of forest cover changes, using support vector machine, kernel logistic regression and naive bayes tree models with optical remote sensing data. [PDF]

Heliyon, 2023
Tariq A, Jiango Y, Li Q, Gao J, Lu L, Soufan W, Almutairi KF, Habib-Ur-Rahman M.   +7 more
europepmc   +1 more source

Hearing and Cognitive Function in Aged Adults: A Machine Learning and Mediation Analysis of NHANES

World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Objective Cognitive impairment is a major public health challenge. Early identification is crucial, especially in the often‐overlooked 60–69 age group. This study developed an efficient risk identification tool. Methods Using data from the US National Health and Nutrition Examination Survey (NHANES), three machine learning algorithms screened ...
Jia Luo, Jing‐Qian Tan, Li‐Ling Li, Jing Gu, Jian‐Yan Wang, Xin‐Yi Wang, Dan Chen, Peng Li   +7 more
wiley   +1 more source

TAN-FGBMLE: Tree-Augmented Naive Bayes Structure Learning Based on Fast Generative Bootstrap Maximum Likelihood Estimation for Continuous-Variable Classification. [PDF]

Entropy (Basel)
Wei C, Zhang T, Li C, Wang P, Ye Z.
europepmc   +1 more source

Human Activity and Motion Pattern Recognition within Indoor Environment Using Convolutional Neural Networks Clustering and Naive Bayes Classification Algorithms. [PDF]

Sensors (Basel), 2022
Ali A, Samara W, Alhaddad D, Ware A, Saraereh OA.   +4 more
europepmc   +1 more source

Artificial Intelligence for Predicting Length of Stay for General Surgery Patients: A Systematic Review

World Journal of Surgery, EarlyView.
Length of stay (LoS) prediction is vital for optimizing surgical patient flow and resource allocation. Artificial intelligence (AI) and machine learning (ML) models may enhance LoS prediction, yet their validity and clinical utility in General Surgery remain unclear.
Joshua Blum, Nomiki Glynatsis, Brieanna Hill, James Montgomery, Richard Turner   +4 more
wiley   +1 more source